CT
HKU-BAL/ClairS-TO
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
89 5 +0/wk
GitHub
bioinformatics deep-learning genomics illumina long-read-sequencing long-reads nanopore ont pacbio snvs somatic-mutations somatic-variants
Trend
3
Star & Fork Trend (29 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
HKU-BAL/ClairS-TO has +0 stars this period . 7-day velocity: 1.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | ClairS-TO | macmind | Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization | ScalingOpt |
|---|---|---|---|---|
| Stars | 89 | 89 | 89 | 89 |
| Forks | 5 | 5 | 10 | 1 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Python | Python | Python | HTML |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | MIT | MIT | N/A |
Capability Radar vs macmind
ClairS-TO
macmind
Maintenance Activity 100
Last code push 4 days ago.
Community Engagement 28
Fork-to-star ratio: 5.6%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under BSD-3-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.